Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data
Abstract
References
Index Terms
- Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data
Recommendations
Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data
SIGMOD/PODS '24: Companion of the 2024 International Conference on Management of DataCausal analysis is crucial for understanding cause-and-effect relationships in observed data to inform better decisions. However, conducting precise causal analysis on observational data is usually impractical, so domain experts often begin their ...
Using Spearman's correlation coefficients for exploratory data analysis on big dataset
Correlation analysis is both popular and useful in a number of social networking research, particularly in the exploratory data analysis. In this paper, three well-known and often-used correlation coefficients, Pearson product-moment correlation ...
Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections
CLOUDCOM '10: Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and ScienceDiscovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Internet, massive binary datasets are difficult to browse or search. Users must ...
Comments
Information & Contributors
Information
Published In
![cover image Proceedings of the ACM on Management of Data](/cms/asset/ecdeed66-6905-4ab2-a277-fae85803a5a9/3670010.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 159Total Downloads
- Downloads (Last 12 months)159
- Downloads (Last 6 weeks)78
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in